(a) 132 (b) 59 (c) 88 (d) 74 (e) 95 (f) 86 (g) 119 (h) 86 (i) 137 (j) 49 (k) 138 (l) 95 (m) 89 (n) 83
Clause (a) · answered by 132 submitters · 431 key points the opportunities presented by artificial intelligence (AI) to lift Australia’s resilience, productivity growth, economic competitiveness, and living standards. 132
submitters answered, directly or in substance
77.6%
of submitters with documents
431
key points extracted under this clause
All sectors Company · 49 Industry Group · 28 Individual · 10 Civil Society · 23 Government · 18 Academia · 14
142 answers shown
Company 49 of 50 submitters Accenture Submission · 4 key points Accenture says AI should be treated as national productivity and resilience infrastructure and adopted practically and responsibly. It argues AI can remove economy-wide bottlenecks, improve business competitiveness and critical-system resilience, and ultimately raise living standards through better services, more productive work and lower avoidable costs. Airwallex Submission · 4 key points Airwallex argues that AI can lift productivity and competitiveness by giving Australian SMBs capabilities previously available mainly to large firms. It says the gains depend on practical adoption, connected financial data and modern infrastructure, while acknowledging that its quantified evidence primarily measures digitisation, automation and integration rather than AI's distinct impact. Airwallex Attachment 1 · 5 key points The report argues that wider adoption of AI and automation can help reverse Australia’s productivity slowdown. It presents Airwallex’s AI-enabled financial tools as examples of reducing administration, improving fraud detection and allowing businesses to devote more capacity to growth, while broader economic results relate to the whole platform rather than AI alone. Amazon Australia Submission · 4 key points Amazon presents AI as a major opportunity to raise Australian productivity, economic growth, business competitiveness and living standards. It supports this position with adoption statistics, projected national economic gains and examples of productivity, entrepreneurship, healthcare and accessibility benefits. Atlassian Submission · 3 key points Atlassian argues that Australia can realise broad economic benefits from AI by integrating effectively with the global AI value chain and turning infrastructure, data and models into useful products and services. It recommends strategic capability uplift rather than treating ownership of any single layer as sufficient. Attestor Pty Ltd Submission · 3 key points The submission argues that AI could materially increase the productivity and revenue of Australian accounting practices, but that these gains will remain constrained unless regulated small businesses can trust how AI handles client data and demonstrate compliance. DataMPowered Pty Ltd Submission · 3 key points The submission argues that AI can improve productivity and institutional resilience by reducing friction in locating and using existing knowledge, systems and expertise. It qualifies that better models alone will not deliver these gains; authoritative facts, controls and accountability must remain within governed institutional systems. Fortescue Submission · 3 key points Fortescue argues that applied AI can materially improve Australian productivity, safety, resilience, decarbonisation and export competitiveness, particularly in complex industrial operations. It presents its mining, logistics and renewable-energy activities as practical examples of these gains. Freelance Robotics Pty Ltd Submission · 3 key points The submission accepts that robotics and automation offer very large productivity and GDP gains, but argues that these gains will only be realised through practical adoption by individual SMEs. It proposes feasibility funding, brownfield integration support, specialist skills development and recognition of narrow industrial AI as the mechanisms needed to convert the opportunity into economic results. Geoscape Australia Submission · 3 key points Geoscape argues that trusted national location data is foundational to using AI to improve Australia’s resilience, productivity and competitiveness. Reliable place-based data allows AI outputs to reflect affected communities, infrastructure, jurisdictions and risks rather than being technically sophisticated but disconnected from real-world conditions. HALIXIS Submission · 3 key points HALIXIS treats practical, proportionate organisational AI governance as one condition that may support responsible adoption and thereby Australia’s productivity, competitiveness and resilience objectives. It expressly does not claim that governance has been demonstrated to increase productivity or is sufficient by itself to achieve broader economic outcomes. Infosys Submission · 3 key points Infosys presents AI as a significant opportunity to improve Australian productivity, competitiveness, resilience, public-sector effectiveness and long-term living standards, particularly by augmenting information-intensive work and specialist decision-making rather than focusing only on automation. Juliusnova Pty Ltd Submission · 4 key points The submission argues that AI can lift productivity, resilience, service quality and innovation, but these benefits depend on treating adoption as a business and workforce transformation rather than merely providing access to technology. Adoption should start with operational outcomes and proceed through readiness, governance, piloting and evidence-based scaling. Koup Music Submission · 3 key points Koup Music argues that rights-aware AI infrastructure could convert Australia’s cultural assets into economic, cultural and export value, while allowing creators, Australian businesses and the wider economy to share in AI-generated value. It contrasts this opportunity with continued offshore extraction of Australian cultural material as unpriced training input. Macquarie Technology Group Submission · 3 key points Macquarie argues that AI can strengthen productivity, public services, cyber defence, critical-infrastructure resilience and broader economic competitiveness. Realising these benefits requires investment, trusted capability and governance that maintains public confidence. MDR Security Submission · 3 key points AI could transform productivity and services by automating complex tasks, but current systems are not sufficiently reliable for most unsupervised business use. Benefits must be discovered through disciplined experimentation, integration, testing and supervision rather than assumed from hype or benchmark capability. Mimecast Submission · 3 key points Mimecast identifies AI-assisted cybersecurity as an opportunity to improve national and organisational resilience by accelerating vulnerability discovery, anomaly detection and threat response, while cautioning that AI also expands the attack surface. MYOB Submission · 5 key points MYOB argues that AI can materially improve Australian productivity, resilience and competitiveness by automating repetitive administration, improving business information and supporting faster growth. It says the strongest opportunities for SMEs come from practical AI functions embedded in tools they already use. Noizend Submission · 3 key points Noizend argues that AI’s largest durable productivity opportunity lies in engineering and infrastructure rather than only general-purpose white-collar applications. Domain-specific, physics-informed models could dramatically accelerate repeated design and operational analysis, reducing delays, rejected applications, retrofits and disputes. Nooriam and LexChip Submission · 2 key points The submission argues that trusted, sovereign legal infrastructure is necessary to realise AI’s economic value while avoiding instability caused by autonomous systems operating without enforceable legal guardrails. It also says registration and authentication can make AI and data assets economically recognisable and more valuable. Nuvento Submission · 3 key points The submission says AI can improve productivity by reducing repetitive information handling, but benefits should be established through workflow-specific evidence rather than assumed. Assessment should include task outcomes, human verification and correction effort, service quality, and total operating costs. OpenAI Submission · 4 key points OpenAI presents widespread AI adoption as an opportunity to improve Australian productivity, skills, resilience and economic participation, while emphasising that AI complements broader productivity policy and remains subject to human direction and accountability. Palo Alto Networks Submission · 2 key points The submission says AI can strengthen Australia’s resilience by accelerating cyber defence, vulnerability discovery and protection against attacks. It also briefly recognises productivity gains from AI coding assistants, while stressing that those gains introduce security risks requiring embedded controls. PwC Submission · 3 key points AI offers Australia substantial productivity, growth and competitiveness gains, but the largest benefits will come from redesigning work and creating new products, services and business models rather than merely deploying tools or automating existing tasks. Its contribution should be measured through realised economic and operational value, not adoption rates alone. Quantum DC SA Tungkillo Submission · 1 key point The submission addresses economic competitiveness and resilience narrowly through the infrastructure needed to support AI. It argues that measurable siting rules and regulatory certainty are necessary to avoid deterring investment in large compute and energy projects. Raedan AI Submission · 3 key points The submission argues, within the Commonwealth public-administration context, that governed and reusable semantic infrastructure can support productive, accountable and resilient AI adoption by reducing duplication, inconsistency and loss of trust. It does not quantify effects on national economic growth, competitiveness or living standards. Regional AI Co. Submission · 4 key points AI is already improving regional business productivity and competitiveness by helping SMEs overcome skills shortages, labour constraints and limited budgets. The submission argues that AI expands the output of existing workers and gives small businesses access to capabilities previously affordable mainly to larger firms. ResetData Pty Ltd Submission · 2 key points The submission addresses resilience and economic competitiveness through the narrower lens of sovereign AI infrastructure. It argues that maintaining Australian-owned infrastructure, skills and operational capability preserves national choice, reduces offshore dependence and enables domestic providers to compete and reinvest. RS9 Systems Pty Ltd Submission · 3 key points The submission argues that large-scale automation of routine government operations should be a national priority because it can increase public-sector capacity, improve services and productivity, and create demand for Australian technology. It qualifies this model by retaining officer responsibility for consequential decisions and maintaining reviewable evidence. SEEK Limited Submission · 4 key points SEEK's early labour-market evidence indicates that AI can improve productivity by helping workers perform tasks better or faster and may increase demand for junior workers in some knowledge-intensive roles. It qualifies this opportunity by noting a smaller automation effect and that the evidence remains preliminary. SEEK Limited Attachment 1 · 4 key points The document says generative AI can lift productivity by helping workers perform knowledge-based tasks more effectively and efficiently. It cautions that productivity gains do not necessarily increase employment, because employers may need fewer workers overall even where AI augments work. SEEK Limited Attachment 2 · 3 key points The document presents AI primarily as a productivity opportunity: organisations are seeking workers who can enable broader AI use, while agentic AI may allow entire tasks to be completed by AI agents. It measures the labour demand associated with this opportunity but does not quantify effects on national resilience, competitiveness or living standards. Sovereign Australia AI Submission · 3 key points The submission argues that sovereign AI could deliver substantial productivity and economic benefits while improving national resilience. It warns that reliance on foreign models, compute and services sends expenditure offshore and exposes Australian organisations to disruptive service withdrawal or price changes. Stirling and Rose Submission · 2 key points The submission argues that sovereign smart legal instrument infrastructure and better-governed data markets could create substantial economic value, lower entry barriers and allow Australians to benefit from data as an income-generating asset. Stripe Attachment 2 · 4 key points The letter argues, in general rather than specifically for Australia, that advances in AI and large language models are accelerating entrepreneurship, software production and business growth, with potential gains in productivity and living standards. It qualifies this optimism by saying gains depend on effective application, access to capital and regulatory settings that permit adoption. Stripe Attachment 1 · 4 key points The document presents agentic commerce as an immediate opportunity to improve consumer convenience, business productivity and commercial competitiveness. It does not directly examine national resilience, but argues that early capability-building will create compounding economic advantages. Stripe Submission · 3 key points Stripe argues that AI can function as foundational economic infrastructure, lifting productivity, helping Australian businesses scale globally, improving payment performance and security, and lowering barriers to entrepreneurship. Taste Labs AI Pty Ltd Submission · 2 key points The submission argues that AI can strengthen Australia’s economic competitiveness and create commercial opportunities for creative industries if creators can authorise, control and receive payment for AI uses of their intellectual property. Tata Consultancy Services Submission · 3 key points TCS argues that AI can improve Australian productivity, innovation, economic diversification and resilience when treated as strategic infrastructure. It says Australia will capture greater economic value by connecting infrastructure to domestic research, intellectual property, products, services and commercialisation. TechnologyOne Submission · 3 key points The submission argues that AI can materially improve Australian productivity, living standards and public-sector efficiency, provided adoption is trusted, secure and focused on measurable community benefits. Test Pattern Submission · 3 key points The submission disputes the premise that current AI deployment offers productivity or broader economic opportunities, arguing that workplace evidence instead shows deskilling and declining productivity. It calls for a cautious approach rather than framing AI as an inevitable source of opportunity. Trustethica Submission · 3 key points Trustethica argues that trusted, assurance-led governance is enabling infrastructure for productive AI adoption, rather than merely a compliance cost. It says practical, proportionate governance can support productivity, innovation, national resilience and public confidence. Uber Attachment 1 · 2 key points Uber argues that autonomous vehicles could improve living standards through safer, more affordable and accessible mobility, faster electrification, and more efficient urban transport. It qualifies these benefits as dependent on continued technical progress and responsible deployment. Vault Submission · 3 key points Vault says AI can improve Australia’s productivity, competitiveness and resilience, but these benefits depend on secure, scalable and appropriately sovereign domestic infrastructure. Government procurement should balance cost and performance with security, sovereignty, interoperability and resilience. Vocus Submission · 3 key points Vocus argues that AI can improve productivity, economic competitiveness and national resilience, but these gains depend on timely investment in secure, resilient and high-capacity digital connectivity. It warns that Australia’s AI ambitions may otherwise outpace the infrastructure needed to support them. Workato Submission · 4 key points Workato argues that AI could materially lift Australian productivity, competitiveness and resilience, but gains depend on organisational change, skills, governed implementation and cost control rather than mere access to AI models. It recommends visible government adoption to improve public services and encourage broader economic uptake. Workday Submission · 3 key points Workday argues that AI can raise productivity, organisational capability and service quality by automating routine work, enabling more strategic work and unlocking human potential. It says Australia’s resilience and competitiveness are best supported by access to high-quality global technologies and open competition. Xaana.AI Submission · 3 key points The submission argues that sovereign, Australian-context AI can deliver significant productivity, service-quality and efficiency gains while strengthening economic competitiveness and reducing dependence on foreign providers. It contends that Australia will not realise the full gains available from AI if it relies on overseas models that are less accurate in the Australian context. Xero Submission · 3 key points Xero says AI can lift productivity and service quality, but access and usage alone are insufficient. The larger gains require redesigning workflows, investing in organisational capability and embedding AI into routine business processes.
Industry Group 28 of 30 submitters ADEIA, UNSW and the ARC Centre for Next-Gen Architectural Manufacturing Submission · 3 key points ADEIA says AI can lift resilience, productivity, competitiveness and living standards by improving the safety, performance, sustainability and whole-of-life cost of buildings and infrastructure. It argues that benefits depend on linking innovation with professional accountability, rights, security and measurable public value. APRA AMCOS Submission · 3 key points APRA AMCOS says AI can create new economic uses for Australian intellectual property and support human creativity, but only if development is lawful and creators receive consent, credit and payment. It presents the creative sector as a significant economic asset whose value could appreciate through licensing or depreciate through unlicensed ingestion. Australian Association of Voice Actors (AAVA) Submission · 4 key points The submission accepts that AI may improve productivity in some sectors, but argues that generative AI is largely replacing rather than augmenting creative work. It says unrestricted adoption will displace Australian workers, reduce the creative sector’s economic contribution and redirect economic benefits to offshore technology companies. Australian Chamber of Commerce and Industry (ACCI) Submission · 4 key points ACCI argues that AI can lift productivity, resilience, competitiveness and living standards by automating routine work, augmenting decisions and enabling higher-value activity. Realising these gains requires broad adoption, workforce and digital capability, supportive infrastructure and a pro-innovation business environment. Australian Computer Society Submission · 3 key points ACS argues that AI can materially increase Australian productivity and economic performance, but only if adoption extends beyond current leading sectors and is supported by a skilled, professionally assured workforce. It also presents mining as evidence that automation can improve operations while redesigning, rather than simply eliminating, jobs. Australian Dental Association (ADA) Submission · 3 key points The ADA says dental AI can improve prevention, diagnostic accuracy, access to care and patient outcomes, principally through earlier and more consistent disease identification. It also sees benefits from less invasive intervention, preventive care and improved patient understanding. Australian Food and Grocery Council Submission · 3 key points The AFGC sees AI as a significant productivity and competitiveness opportunity for food and grocery manufacturing, principally through cost reduction, efficiency and improved planning and operations. Realising the gains will require stronger data foundations, organisational capability and structural settings that support manufacturing investment. Australian Fusion Industry Submission · 4 key points The submission argues that AI can lift productivity, public-service quality, research capacity and national resilience, but only if Australia treats compute, energy, communications, data, infrastructure and skills as an integrated national capability. It favours measurable national benefits and scenario-based infrastructure planning rather than data-centre growth for its own sake. Australian Local Government Association (ALGA) Submission · 3 key points The submission considers AI a significant opportunity to improve local-government productivity, resilience, service quality and long-term financial sustainability. It argues that gains should be assessed through broader public outcomes, not merely processing speed or cost reduction. Australian Medical Association (AMA) Submission · 2 key points The AMA says safely adopted, clinician-led AI can improve healthcare productivity, relieve workforce pressures, and improve the quality, consistency and accessibility of patient care. It also cautions that failing to adopt beneficial technologies carries risks. Australian Writers’ Guild (AWG) and Authorship Collecting Society Australia Aotearoa (ACSAA) Attachment 1 · 3 key points The document rejects an unqualified view that AI will improve economic outcomes, arguing that generative AI threatens the substantial economic contribution of Australia’s creative industries, creators’ wages and the development of functioning licensing markets. Council of Small Business Organisations Australia (COSBOA) Submission · 4 key points COSBOA argues that AI can materially improve Australia’s productivity, competitiveness and resilience, but the national gains will depend on productive adoption across 2.7 million small businesses rather than being concentrated in large firms. CREST (International) Submission · 2 key points The submission argues that AI-enabled cybersecurity can strengthen organisational cyber resilience and support safe AI adoption, but only if backed by independent assurance, accountability, transparency and professional standards. It does not address productivity growth, living standards or economy-wide competitiveness in detail. Engineers Australia Submission · 3 key points Engineers Australia considers AI a significant opportunity to increase productivity, national capability, economic growth and competitiveness. It argues that realising these benefits depends on engineering expertise, infrastructure, technical oversight and broad adoption across the economy. Environment Institute of Australia and New Zealand (EIANZ) Submission · 4 key points EIANZ says AI and AI-driven robotics can improve environmental-sector productivity and national resilience by accelerating monitoring, climate-risk assessment and preventative investment, provided qualified humans retain oversight. Future Skills Organisation Attachment 1 · 3 key points The document argues that Australia can obtain substantial productivity, competitiveness and broader economic and social benefits from AI, but access to technology alone will not deliver them. Benefits depend on workforce judgement, leadership, trust and coordinated capability development at scale. Future Skills Organisation Submission · 3 key points FSO says AI offers productivity, innovation and workforce benefits, but widespread access to tools is not enough to realise them. Benefits depend on workforce capability, complementary changes to processes and governance, and the ability to translate experimentation into effective use. Housing Industry Association (HIA) Submission · 3 key points In the available extract, HIA presents AI as a productivity reform with particular potential to increase housing supply, improve construction delivery and make more efficient use of land and infrastructure. IFPI Submission · 3 key points IFPI supports the economic and societal opportunities of AI, including productivity, investment and creative innovation, but argues that these benefits depend on a predictable legal framework that protects intellectual property and supports responsible licensing. Independent Music Publishers International Forum (IMPF) Submission · 2 key points The submission sees AI as capable of producing human, cultural and economic value, particularly in music, but argues that these benefits depend on lawful licensing, legal certainty and responsible, sustainable adoption. Industry Skills Australia Submission · 5 key points ISA says AI-enabled systems can help Australia’s transport supply chain offset labour shortages while improving productivity, reliability, safety and workforce participation. It identifies route optimisation, warehouse automation and predictive maintenance as principal opportunities. Medicines Australia Submission · 3 key points Medicines Australia says AI can improve health outcomes, productivity, economic participation and national competitiveness, with health and medical innovation offering particularly large economic and social dividends. Realising those gains depends on supportive investment, research, data and regulatory settings. Municipal Association of Victoria (MAV) Submission · 5 key points MAV argues that AI can lift productivity, resilience and living standards by transforming local-government services, infrastructure management and institutional processes, but only if gains are assessed alongside service quality, equity, workforce outcomes, environmental effects and public trust. Music Victoria Submission · 2 key points Music Victoria considers AI capable of improving productivity, accessibility, audience development and commercial capability in Australia’s music sector. It argues these economic opportunities can be pursued without sacrificing creators’ rights. Robotics Australia Group Ltd Submission · 3 key points The submission presents robotics and physical AI as major opportunities to lift productivity, GDP, competitiveness and resilience, provided Australia supports adoption, skills, capital and domestic capability. It calls for physical AI to have a defined place in national AI policy. Royal Australasian College of Surgeons Submission · 3 key points RACS argues that AI can improve healthcare productivity, resilience and living standards by supporting clinical decisions, streamlining workflows and reducing administrative burdens, thereby allowing more clinician time for patient care. Adoption should nevertheless be driven by evidence, benefit, risk and context rather than novelty or commercial pressure. Royal Australian and New Zealand College of Radiologists Submission · 3 key points RANZCR considers health AI a significant productivity opportunity because it can absorb routine work, improve workflows and help meet demand that is growing faster than the specialist workforce. These gains are conditional on tools performing safely in their actual clinical setting and population. Skills Insight Submission · 3 key points Skills Insight argues that AI can lift productivity and strengthen national resilience across foundational industries, while also improving decisions, quality, food security, biosecurity, animal welfare and environmental management. These gains depend on applying AI to defined industry problems and having adequate workforce capability, data, infrastructure and implementation support.
Individual 10 of 16 submitters CAM Initiative Submission · 3 key points The submission argues that AI can raise productivity and living standards, but enduring prosperity depends on retaining more AI-era productive capacity, ownership and returns in Australia and distributing gains beyond capital owners. Chameleon Confidential Solutions Pty Ltd Submission · 4 key points The submission supports AI adoption as an opportunity to strengthen Australian productivity, resilience, innovation and national capability, but argues that these benefits depend on adaptive, operationally capable governance and assurance. It favours concentrating governance effort according to consequence and context so innovation is supported without compromising justified trust. Dr Morgan Serong Submission · 4 key points The submission disputes claims that AI will substantially improve Australian productivity, competitiveness or living standards. It argues that Australia’s best opportunity is to slow adoption, independently test actual benefits and avoid costly dependence on an unstable overseas AI industry. Dr Samantha Pillay OAM Submission · 3 key points The submission argues that sovereign AI infrastructure and health applications can improve national resilience, attract investment and expand healthcare and training capacity. It stresses that these benefits depend on Australian control of data, models and infrastructure rather than Australia merely hosting foreign-owned systems. Generation Women Australia Submission · 2 key points The submission recognises that AI could deliver major social and economic benefits, including advances in medicine, education, accessibility and business growth. It argues that pursuing these opportunities is compatible with precautionary regulation of exceptionally capable systems. Spinifex Press Pty Ltd Submission · 3 key points The submission rejects claims that AI will improve productivity or living standards for writers, publishers, artists and Indigenous peoples. It argues that conventional productivity measures cannot capture long-term creative labour and that AI instead diminishes creative-sector livelihoods and distinctiveness. Transition Level Submission · 3 key points The submission supports AI adoption as a potential source of substantial productivity and work-quality benefits, but argues that Australian policy should measure realised benefits and full implementation costs rather than assume economy-wide returns from existing studies. Tsutomu Yahagi Submission · 2 key points AI can improve professional productivity by widening the material available to practitioners and reducing work, but these gains depend on systems refusing outputs they cannot ground. Without such constraints, verification work and professional risk can eliminate the productivity benefit. United Nations Special Rapporteur on human rights and counter-terrorism Submission · 2 key points The document identifies narrower resilience and productivity benefits in counter-terrorism, law enforcement, border management and justice, including faster analysis, more efficient administration and potentially more precise interventions. It does not assess economy-wide productivity, competitiveness or living standards in Australia. Vigilant Labs Submission · 3 key points The submission says AI adoption can produce productivity benefits, but Australia will gain greater economic competitiveness and strategic resilience by developing domestic technical depth, specialised capability and enduring companies rather than merely consuming foreign services.
Civil Society 23 of 34 submitters Alannah & Madeline Foundation Attachment 1 · 4 key points The document says AI could improve living standards and economic prospects through personalised education, new forms of play and future employment skills. It argues, however, that these benefits depend on safety-focused governance that embeds children’s rights rather than treating growth and adoption as sufficient outcomes. Alliance for Journalists' Freedom Submission · 1 key point The AJF acknowledges limited productivity and creative opportunities from AI in journalism, particularly for research, new content formats and more efficient newsroom workflows. Its overall emphasis, however, is on managing AI’s risks to journalism and democracy. Australian Artificial Intelligence Society Ltd Submission · 4 key points AUAI argues that Australia’s main near-term AI opportunity is to convert general-purpose AI into verified, sector-specific organisational capability. Public support should be workflow-first and tied to measured productivity, service, quality, workforce and risk outcomes rather than tool purchases or headline adoption rates. Australian Risk Policy Institute Submission · 3 key points The submission sees AI as offering significant quantitative capability and an opportunity to strengthen national and critical-infrastructure resilience, but only when balanced by human-centred Intelligence Augmentation (IA). It argues that mixed AI–IA modelling can improve situational awareness, foresight and strategic decision-making. Climateworks Centre Submission · 4 key points Climateworks argues that deliberately directing AI and advanced modelling toward decarbonisation could strengthen Australia’s climate resilience, productivity and sovereign capability. It says benefits are available across energy, buildings, transport, industry and land use, but require a coordinated national plan rather than reliance on market uptake alone. Fractal Media Infrastructure Submission · 3 key points The submission argues that AI is becoming foundational infrastructure for work, learning, communication, accessibility, public services and economic activity. It says Australia can improve resilience and broadly shared living standards by preserving meaningful baseline participation while allowing commercial providers to offer premium capability. Human Rights Law Centre Attachment 1 · 2 key points The document identifies a limited but significant opportunity for AI-enabled neurotechnology to improve health and living standards, particularly through treatment and assistive applications. It qualifies this opportunity by stressing the need to protect privacy, autonomy and freedom of thought. Humanware Institute Submission · 3 key points The submission argues that AI can improve productivity, services, resilience and living standards, but adoption alone is insufficient. Australia must build its “Humanware” capability and redesign work, decisions and institutions to convert AI use into sustained public value. Independent Education Union of Australia Submission · 2 key points The IEUA sees potential for AI to improve productivity in education by reducing administrative workload and improving educational outcomes, but only where tools are rigorously evaluated and preserve teacher autonomy and professional judgement. Institute for Integrated Economic Research - Australia Submission · 3 key points The document says AI can lift productivity and national resilience when designed to augment human judgement, but warns that productivity-led automation can instead create cognitive atrophy, dependency and reduced strategic resilience. It therefore favours effectiveness and long-term resilience over maximising short-term efficiency. Minderoo Foundation Submission · 3 key points The submission argues that AI can deliver substantial economic and social benefits, including productivity, healthcare and convenience, but that adoption and resulting gains depend on public trust, visible safeguards and clear rules. NableU Community Systems Incorporated Submission · 3 key points The submission presents AI as a major capability multiplier that can improve practical access to rights, services, work and community, including by reducing administrative and cognitive burdens. It argues that these benefits should be pursued without transferring unnecessary authority from people to institutions or software. Parents for Climate Submission · 2 key points The submission accepts that AI could improve decision-making, creation, work, productivity, competitiveness and living standards, but argues that technology alone will not deliver broadly shared prosperity. It calls for tax reform so AI companies contribute to public finances, help insure society against disruption, and do not privatise gains while socialising costs. Per Capita Submission · 3 key points The document argues that AI infrastructure could generate major productivity and economic gains for Australia, but those gains may be concentrated or flow offshore unless Australia secures a durable public stake. It recommends a layered ownership, revenue-sharing and capability model designed to distribute the resulting value and remain effective across different AI futures. Shop, Distributive and Allied Employees' Association (SDA) Submission · 4 key points The SDA says AI can improve resilience, productivity, competitiveness and living standards, but only if Australia deliberately builds sovereign capability and deploys AI to augment workers rather than intensify or displace their labour. It argues that fairness, consultation and domestic value capture are conditions of genuine productivity growth. Social Cyber Institute Submission · 3 key points The submission argues that Australia can improve economic competitiveness and resilience by deploying AI according to cost, capability and risk, while investing in domestic infrastructure, skills and responsible innovation. It discusses reduced costs and comparative advantage, but does not specifically analyse effects on living standards. Soroptimist International Australia Inc Submission · 2 key points SI Australia supports responsible AI adoption where it improves productivity, public services, opportunity, and economic and social wellbeing. It argues that innovation should proceed alongside enforceable safeguards so benefits are broadly shared and harms are not externalised. Tech Futures Australia Submission · 3 key points The submission argues that universal foundational AI literacy is economic infrastructure that can improve productivity, competitiveness and living standards by enabling a broader future workforce to use AI effectively and critically. It cautions that access to AI products alone does not produce these benefits and may impair learning if poorly designed. Tech Policy Design Institute Submission · 3 key points The submission argues that Australia should pursue “AI agency” so it can steer AI outcomes, protect national interests and capture economic and public value. It recommends strategic investment based on specific capabilities and dependencies rather than attempting self-sufficiency across the entire AI ecosystem. Telecommunications Industry Ombudsman Submission · 1 key point The TIO briefly acknowledges that AI can deliver productivity and innovation benefits, but argues that realising those benefits depends on public trust and confidence supported by effective consumer protections. Western Australian AI Hub Submission · 3 key points The submission argues that AI can improve Australian productivity, competitiveness and social outcomes, but only when adoption is accompanied by investment in workforce capability, organisational processes, contestable markets, public accountability, lawful data governance and resilient infrastructure. Women's Services Network Submission · 2 key points The document identifies targeted opportunities for AI to improve safety and wellbeing by supporting domestic and family violence data collection, early identification, intervention and access to information. It does not make claims about productivity growth or economic competitiveness. WWF-Australia Submission · 4 key points WWF-Australia supports responsible AI development as a means of improving environmental monitoring, forecasting, decision-making and disaster response, thereby strengthening Australia’s resilience and economic prosperity. It argues that success should be assessed against long-term social and environmental wellbeing, not productivity or growth alone.
Government 18 of 20 submitters Attorney-General's Department Submission · 3 key points The department says responsible AI can improve access to justice, service delivery and justice-system efficiency. It presents the amica family-law tool as evidence that safeguarded AI can help resolve disputes while reducing costs and demand for litigation and legal services. Australian Human Rights Commission Submission · 3 key points The Commission accepts that AI can improve productivity and deliver economic benefits, but argues these opportunities should be pursued together with proportionate management of human rights risks. It considers a human rights-centred approach the best way to secure the benefits while limiting harm. Australian National Audit Office Submission · 3 key points The document says AI can improve public-sector services, decision-making, productivity and efficiency. IP Australia provides an operational example, although the audit found that benefits were not consistently quantified and does not assess economy-wide competitiveness or living standards. Australian Securities and Investments Commission (ASIC) Submission · 3 key points ASIC says AI can improve efficiency, innovation and consumer outcomes in financial services, while also supporting more effective regulation. It qualifies these opportunities by stressing that adoption must not diminish consumer outcomes, market integrity, safety or stability. Australian Signals Directorate (ASD) Submission · 2 key points ASD says AI can improve efficiency and productivity and strengthen national resilience by helping cyber defenders identify vulnerabilities, secure software and mitigate threats before they occur. CSIRO Submission · 4 key points CSIRO says AI can improve national resilience, productivity and wellbeing through climate adaptation, infrastructure and ecosystem monitoring, resource efficiency, disaster response, mental health support and sector-specific productivity. It also cautions that risks must be managed and reports mixed productivity results from its M365 Copilot trial. Department of Employment and Workplace Relations (DEWR) Submission · 4 key points DEWR considers AI a significant opportunity to improve productivity, economic competitiveness, resilience and living standards. It cautions that gains are uncertain and depend on complementary investment, organisational redesign, workforce capability and responsible implementation. Department of Finance, Digital Transformation Agency, Australian Public Service Commission and Services Australia Submission · 2 key points The submission presents responsible AI adoption in the Australian Public Service as an opportunity to improve government productivity, efficiency, policy outcomes and service delivery. It qualifies anticipated gains by requiring staged implementation and evidence that benefits are actually realised. Department of Home Affairs Submission · 3 key points Home Affairs considers AI capable of strengthening Australia’s productivity, resilience and economic competitiveness while improving government services. It qualifies this opportunity by stressing that adoption must remain safe, secure and aligned with the national interest. Department of Industry, Science and Resources Submission · 3 key points The department presents AI as a general-purpose technology capable of increasing productivity, economic growth, competitiveness, resilience and living standards, provided Australia promotes effective adoption, develops domestic capability and manages associated risks. Department of Parliamentary Services Submission · 2 key points The submission identifies a limited, public-sector productivity opportunity: AI may improve the efficiency, accessibility, quality and timeliness of services supporting Parliament and the public. It does not assess economy-wide productivity, competitiveness or living-standard effects. Department of the House of Representatives Submission · 2 key points The document provides a limited public-sector example of AI improving productivity: staff use it for research, summarising, drafting and ideation, while AI-assisted coding has expanded the department’s application-development capability. It does not address broader economic competitiveness or living standards. Department of the Prime Minister and Cabinet (PM&C) Submission · 3 key points The submission presents domestic AI training and data-centre infrastructure as foundations for productivity, innovation, economic growth, jobs, national security and technological capability. It argues these opportunities should be pursued under standards that maintain community support and avoid transferring infrastructure costs to households. eSafety Commissioner Submission · 3 key points eSafety says AI offers significant benefits, productivity and growth opportunities, but these depend on proportionate safety regulation and safeguards that sustain public trust, adoption, competition and innovation. Jobs and Skills Australia Submission · 3 key points JSA says generative AI offers productivity gains through time savings, better output quality and human augmentation, but these gains are not automatic. Sustainable benefits depend on complementary investment in workforce development, training, infrastructure and organisational change. Office of the Australian Information Commissioner (OAIC) Submission · 3 key points The OAIC considers AI capable of improving economy-wide productivity and government service quality, but argues that these benefits depend on robust guardrails, regulatory oversight, transparency and public trust. Parliamentary Library, Department of Parliamentary Services Submission · 3 key points The submission says AI can improve Parliament’s resilience and productivity by strengthening research, scrutiny, information discovery and knowledge management. It limits this claim to assistive uses that preserve human judgement and professional responsibility, and does not address economic competitiveness or living standards more broadly. Western Sydney Regional Organisation of Councils (WSROC) Submission · 4 key points WSROC argues that AI can improve local-government productivity, service quality, planning, infrastructure management and community outcomes. It supports targeted pilots but says productivity gains should preserve professional capability, service quality and accountability rather than simply maximise automation.
Academia 14 of 20 submitters Australian Academy of Technological Sciences and Engineering Submission · 3 key points ATSE presents AI as a major economic opportunity that could strengthen prosperity and sovereign capability, estimating a potential 6% to 8% GDP uplift over the next decade if key enabling investments are made. Australian Academy of Technological Sciences and Engineering Attachment 1 · 3 key points ATSE presents AI as a major economic opportunity that could materially increase Australian GDP and generate further gains through innovation, while cautioning that estimates depend heavily on adoption and productivity assumptions. Australian Academy of Technological Sciences and Engineering Attachment 2 · 3 key points The document argues that strategic AI investment could materially increase Australian productivity, GDP, competitiveness and national resilience. It estimates that the proposed measures could add AU$160–235 billion to annual GDP by 2034, while inaction would leave substantial value unrealised and increase dependence on foreign technology. Dr Daniela Simone, Professor Isabella Alexander, Professor Kathy Bowrey, Professor Michael Hander, Dr Sarah Hook, and Professor Kimberlee Weatherall Submission · 2 key points The submission identifies AI-enabled research and access to knowledge as opportunities to tackle major challenges and strengthen Australia’s industrial competitiveness. It argues that these benefits depend on copyright settings that permit public-interest research and innovation. Dr Tony Carden Submission · 3 key points The submission argues that AI can improve living standards and resilience by automating cognitive work, advancing health and science, and helping address major societal and environmental problems. It is not Australia-specific and says these benefits depend on regulation that protects the public while permitting innovation and economic growth. Emeritus Professor Michael Quinlan and Associate Professor Penny Williams Attachment 1 · 3 key points The document identifies narrower workplace-level opportunities for AI and algorithmic management to improve efficiency and occupational safety and health, provided deployment includes risk assessment, prevention and worker participation. It does not assess Australia-wide economic resilience, competitiveness or living standards. Emeritus Professor Michael Quinlan and Associate Professor Penny Williams Submission · 4 key points The submission says AI can improve productivity, organisational efficiency, workplace safety and economic resilience, but argues these gains are not automatic. Without appropriate workplace safeguards, harmful health and safety effects may outweigh the benefits in practice. Professor Jeannie Paterson Submission · 2 key points The submission identifies potential workforce productivity gains from AI, particularly in legal work, but cautions that these gains remain difficult to measure and depend on responsible use, governance and effective human oversight. Professor Ritesh Chugh Submission · 3 key points The submission argues that AI can improve productivity, learning, problem-solving and service delivery, but Australia should judge adoption by whether it develops durable human capability rather than merely increasing AI use or producing faster outputs. QUT Digital Media Research Centre Submission · 3 key points The document argues that AI can generate economic and social value, but only if systems are successfully integrated into Australian workplaces, institutions and communities and deliver tangible, equitable benefits. It also identifies accessibility, creativity and advocacy as beneficial applications of AI-generated content. RMIT Enterprise AI and Data Analytics Research Hub Submission · 4 key points The submission says AI can improve Australian productivity, business resilience, innovation and living standards, but these gains depend on SMEs developing the organisational capacity to adopt AI responsibly. Its local cases demonstrate delivered functionality, while the submission expressly cautions that sustained use, savings and causal productivity effects have not yet been established. University of Tasmania Submission · 2 key points The submission argues that AI-capable graduates can support productivity, but that this benefit depends on retaining employer and public confidence in the qualifications certifying their capabilities. It does not separately quantify effects on economic competitiveness, resilience or living standards. University of Tasmania Attachment 1 · 3 key points The document presents AI as an opportunity to increase institutional productivity, capacity and work quality when it augments—rather than replaces—human expertise. It argues that gains depend on disciplined human framing, direction and final evaluation. UNSW AI Institute Submission · 3 key points The submission argues that AI can improve Australia’s resilience, productivity and economic competitiveness if Australia shapes incoming investment, builds accessible digital infrastructure and applies AI in science, industry and public-interest sectors. It rejects the view that Australia is too small or too late to build meaningful capability.
